Apple Inc.

Nuance Communications, Inc.

Other

Shaun Eric Williams

Thomas R Gruber

Francoise Beaufays

Hong M Chen

Devang Kalidas Naik

Justin G Binder

Lia T Napolitano

Gunnar Evermann

Ananth Sankar

Mitchel Weintraub

Charles Srisuwananukorn

Liam Weiner

Matthias Paulik

Sachin S Kajarekar

Henry Graham Mason

Mahesh Krishnamoorthy

Neha Agrawal

Ali S Mohamed

Vickie Johnson

Reginald Brantley

Selen Uguroglu

The present disclosure generally relates to context-based endpoint detection in user speech input. A method for identifying an endpoint of a spoken request by a user may include receiving user input of natural language speech including one or more words; identifying at least one context associated with the user input; generating a probability, based on the at least one context associated with the user input, that a location in the user input is an endpoint; determining whether the probability is greater than a threshold; and in accordance with a determination that the probability is greater than the threshold, identifying the location in the user input as the endpoint.

Context-based endpoint detection

The method is performed at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors. A first speech input including at least one word is received. A first phonetic representation of the at least one word is determined, the first phonetic representation comprising a first set of phonemes selected from a speech recognition phonetic alphabet. The first set of phonemes is mapped to a second set of phonemes to generate a second phonetic representation, where the second set of phonemes is selected from a speech synthesis phonetic alphabet. The second phonetic representation is stored in association with a text string corresponding to the at least one word.

System and method for user-specified pronunciation of words for speech synthesis and recognition

The flashing headlight for a motorcycle is a safety device for motorcycles and other vehicles such as all-terrain vehicles or bicycles. It is a supplemental headlight that is mounted by the headlight of a vehicle. An embodiment of the disclosure meets the needs presented above by generally comprising a flashing headlight for a motorcycle that flashes once per second to alert other drivers on the road to the position of the motorcycle. The flashing headlight for a motorcycle is intended to be operated only during daylight hours and includes circuitry to disable operation in darkness.

Flashing headlight for a motorcycle

A computerized method is provided for generating pronunciations for words and storing the pronunciations in a pronunciation dictionary. The method includes graphing sets of initial pronunciations; thereafter in an ASR subsystem determining a highest-scoring set of initial pronunciations; generating sets of alternate pronunciations, wherein each set of alternate pronunciations includes the highest-scoring set of initial pronunciations with a lowest-probability phone of the highest-scoring initial pronunciation substituted with a unique-substitute phone; graphing the sets of alternate pronunciations; determining in the ASR subsystem a highest-scoring set of alternate pronunciations; and adding to a pronunciation dictionary the highest-scoring set of alternate pronunciations.

Method for learning linguistically valid word pronunciations from acoustic data

A computerized pronunciation system is provided for generating pronunciations for words and storing the pronunciations in a pronunciation dictionary. The system includes a word list including at least one word; transcribed acoustic data including at least one waveform for the word and transcribed text associated with the waveform; a pronunciation-learning module configured to accept as input the word list and the transcribed acoustic data, the pronunciation-learning module including: sets of initial pronunciations of the word, a scoring module configured score pronunciations and to generate phone probabilities, and a set of alternate pronunciations of the word, wherein the set of alternate pronunciations include a highest-scoring set of initial pronunciations with a highest-scoring substitute phone substituted for a lowest-probability phone; and a pronunciation dictionary configured to receive the highest-scoring set of initial pronunciations and the set of alternate pronunciations.

Method and system for learning linguistically valid word pronunciations from acoustic data

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San Jose, CA, United States of America

Shaun Eric Williams